Quando a fotografia (já) fazia os antropólogos sonharem: O jornal La Lumière (1851-1860)

Na efervescente metade do século XIX, marcada pela febre da ordem e do progresso, da racionalidade e das luzes, os antropólogos-naturalistas franceses descobrem, ao lado de muitos outros cientistas, as possibilidades heurísticas que a fotografia ofereceria à "visão" que eles tinham da "antropologia", a saber essa tentativa de mapeamento da "espécie humana", das raças e, dentre elas, dos tipos humanos, numa perspectiva claramente evolucionista. O jornal La Lumière (1851-1867), primeira publicação francesa dedicada à "Fotografia, às Artes e às Ciências", foi parcialmente reimpresso em 1995. Mergulhando nas colunas desse semanário, o leitor, além de adquirir uma idéia das origens da antropologia francesa, descobre as profissões de fé que se erguem em torno do novo suporte técnico e da nova "retina do cientista". Descobre, também, como essa prótese instaura uma nova ordem do olhar e levanta, em termos de uma epistemologia do conhecimento, um interessante questionamento em torno de dois outros meios de representações figurativas nos círculos antropológicos da época: os desenhos e as moldagens.

Doenças respiratórias como causa de morte no município de São Paulo, SP (Brasil)

É apresentada a mortalidade por doenças respiratórias no município de São Paulo (Brasil), destacando-se as infecções respiratórias agudas (IRA) e o que elas representam em relação às doenças respiratórias crônicas (DRC). Os dados de mortalidade foram corrigidos por pesquisa com procura de informações adicionais, o que permitiu comparar os dados oficiais de mortalidade e os dados corrigidos. Concluiu-se que as estatísticas oficiais baseadas nos atestados de óbito não espelham a realidade quanto à magnitude das diferentes doenças respiratórias, superestimando as IRA e subestimando as DRC. Se a mesma distorção estiver ocorrendo em outras áreas do mundo, a importância relativa das IRA na mortalidade por doenças respiratórias não apresenta a magnitude apontada por outros autores.

Gastroenterites e infecções respiratórias agudas em crianças menores de 5 anos em área da região Sudeste do Brasil, 1986-1987: I - Infecções respiratórias agudas

Estudou-se coorte constituída de uma amostra probabilística (N=468) de crianças menores de 5 anos, residentes em 5 áreas do Município de São Paulo, SP (Brasil), acompanhada durante 1 ano, por meio de entrevistas mensais. A pesquisa foi desenvolvida no período de março de 1986 a maio de 1987. Entre as características sociais e econômicas das famílias das crianças estudadas, estão: a) mediana da renda familiar "per capita" de um salário-mínimo da época; b) 29,3% das crianças tinham pais migrantes com tempo médio de fixação no Município de São Paulo de 18,6 anos; c) 40% das famílias utilizavam exclusivamente serviços de saúde públicos ou filantrópicos. Das crianças estudadas, 87,3% eram eutróficas; 94% haviam recebido todas as doses de vacina preconizadas pelo Programa Nacional de Imunizações; 90,6% nunca haviam sido internadas em conseqüência de infecção respiratória aguda (IRA). Durante a investigação foram identificados 554 episódios de IRA, com uma duração média de 6,8 dias, e uma incidência de 11,08 episódios por 100 crianças/mês. O grupo etário mais atingido foi o dos menores de 1 ano. Em 36,1% dos casos de IRA identificados, verificaram-se eventos semelhantes no mesmo domicílio, sendo que em 53% desses episódios o caso-índice foi uma criança menor de 6 anos. Quanto ao tipo de atendimento, em 45,7% dos episódios as crianças foram tratadas pelas próprias mães, 6,9% recorreram a farmacêuticos, 46,7% foram atendidas em diferentes tipos de ambulatórios e somente 4 casos (0,7%) necessitaram tratamento hospitalar, com um deles evoluindo para óbito. As medidas terapêuticas mais utilizadas entre os casos que demandaram assistência médica foram a antibioticoterapia e os expectorantes. Alguns fatores socioeconômicos e antecedentes pessoais, tais como condições habitacionais, aglomeração intradomiciliar assim como antecedentes de doenças respiratórias, mostraram-se associados à incidência mais elevada de IRA.

Genotoxic effects of exposure to formaldehyde in two different occupational settings

Formaldehyde (CH2O), the most simple and reactive aldehyde, is a colorless, reactive and readily polymerizing gas at room temperature (National Toxicology Program [NTP]. It has a pungent suffocating odor that is recognized by most human subjects at concentrations below 1 ppm. Aleksandr Butlerov synthesized the chemical in 1859, but it was August Wilhelm von Hofmann who identified it as the product formed from passing methanol and air over a heated platinum spiral in 1867. This method is still the basis for the industrial production of formaldehyde today, in which methanol is oxidized using a metal catalyst. By the early 20th century, with the explosion of knowledge in chemistry and physics, coupled with demands for more innovative synthetic products, the scene was set for the birth of a new material–plastics. According to the Report on Carcinogens, formaldehyde ranks 25th in the overall U.S. chemical production, with more than 5 million tons produced each year. Formaldehyde annual production rises up to 21 million tons worldwide and it has increased in China with 7.5 million tons produced in 2007. Given its economic importance and widespread use, many people are exposed to formaldehyde environmentally and/or occupationally. Commercially, formaldehyde is manufactured as an aqueous solution called formalin, usually containing 37% by weight of dissolved formaldehyde. This chemical is present in all regions of the atmosphere arising from the oxidation of biogenic and anthropogenic hydrocarbons. Formaldehyde concentration levels range typically from 2 to 45 ppbV (parts per billion in a given volume) in urban settings that are mainly governed by primary emissions and secondary formation.

Perceção visual na avaliação diagnóstica em mamografia: uma revisão sistemática

Introdução – Na avaliação diagnóstica em mamografia, o desempenho do radiologista pode estar sujeito a erros de diagnóstico. Objetivo – Descrever a importância da perceção visual na análise da mamografia, identificando os principais fatores que contribuem para a perceção visual do radiologista e que condicionam a acuidade diagnóstica. Metodologia – Estudo descritivo baseado numa revisão sistemática de literatura através da PubMed e da Science Direct. Foram incluídos 42 artigos que respeitavam, pelo menos, um dos critérios de inclusão no estudo. Para a seleção das referências foi utilizada a metodologia PRISMA, constituída por 4 fases: identificação, seleção preliminar, elegibilidade e estudos incluídos. Resultados – Na avaliação diagnóstica em mamografia, a perceção visual está intimamente relacionada com: 1) diferentes parâmetros visuais e da motilidade ocular (acuidade visual, sensibilidade ao contraste e à luminância e movimentos oculares); 2) com condições de visualização de uma imagem (iluminância da sala e luminância do monitor); e 3) fadiga ocular provocada pela observação diária consecutiva de imagens. Conclusões – A perceção visual pode ser influenciada por 3 categorias de erros observados: erros de pesquisa (lesões não são fixadas pela fóvea), erros de reconhecimento (lesões fixadas, mas não durante o tempo suficiente) e erros de decisão (lesões fixadas, mas não identificadas como suspeitas). Os estudos analisados sobre perceção visual, atenção visual e estratégia visual, bem como os estudos sobre condições de visualização não caracterizam a função visual dos observadores. Para uma avaliação correta da perceção visual em mamografia deverão ser efetuados estudos que correlacionem a função visual com a qualidade diagnóstica. ABSTRACT - Introduction – Diagnostic evaluation in mammography could be influenced by the radiologist performance that could be under diagnostic errors. Aims – To describe the importance of radiologist visual perception in mammographic diagnostic evaluation and to identify the main factors that contribute to diagnostic accuracy. Methods – In this systematic review 42 references were included based on inclusion criteria (PubMed and Science Direct). PRISMA method was used to select the references following 4 steps: identification, screening, eligibility and included references. Results – Visual perception in mammography diagnostic evaluation is related with: 1) visual parameters and ocular motility (visual acuity, contrast sensitivity and luminance and ocular movements); 2) image visualization environment (room iluminance and monitor luminance); and 3) eyestrain caused by image daily consecutive observation. Conclusions – Visual perception can be influenced by three errors categories: search errors (lesions are never looked at with high-resolution foveal vision), recognition errors (lesions are looked at, but not long enough to detect or recognize) and decision errors (lesions are looked at for long periods of time but are still missed). The reviewed studies concerning visual perception, visual attention, visual strategies and image visualization environment do not describe observer’s visual function. An accurate evaluation of visual perception in mammography must include visual function analysis.

Accuracy of polls in Portugal

This study has a vast analysis, studying almost all the pre-electoral polls published or issued in Portugal in the month previous to each of the elections, since 1991 until the last one that took place in February 2005. The accuracy measures I used were adapted from the study carried out by Frederick Mosteller in the report to the Committee on Analysis of Pre-election Polls, regarding the USA elections of 1948.

Electricity Markets Simulation: MASCEM Contributions to the Challenging Reality

Electricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in sophisticated tools very helpful under this context. Some simulation tools have already been developed, some of them very interesting. However, at the present state it is important to go a step forward in Electricity Markets simulators as this is crucial for facing changes in Power Systems. This paper explains the context and needs of electricity market simulation, describing the most important characteristics of available simulators. We present our work concerning MASCEM simulator, presenting its features as well as the improvements being made to accomplish the change and challenging reality of Electricity Markets.

Optimal location of gas supply units in natural gas system network

Natural gas industry has been confronted with big challenges: great growth in demand, investments on new GSUs – gas supply units, and efficient technical system management. The right number of GSUs, their best location on networks and the optimal allocation to loads is a decision problem that can be formulated as a combinatorial programming problem, with the objective of minimizing system expenses. Our emphasis is on the formulation, interpretation and development of a solution algorithm that will analyze the trade-off between infrastructure investment expenditure and operating system costs. The location model was applied to a 12 node natural gas network, and its effectiveness was tested in five different operating scenarios.

Metalearning in ALBidS: A Strategic Bidding System for electricity markets

Metalearning is a subfield of machine learning with special pro-pensity for dynamic and complex environments, from which it is difficult to extract predictable knowledge. The field of study of this work is the electricity market, which due to the restructuring that recently took place, became an especially complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotia-tion entities. The proposed metalearner takes advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that pro-vides decision support to electricity markets’ participating players. Using the outputs of each different strategy as inputs, the metalearner creates its own output, considering each strategy with a different weight, depending on its individual quality of performance. The results of the proposed meth-od are studied and analyzed using MASCEM - a multi-agent electricity market simulator that models market players and simulates their operation in the market. This simulator provides the chance to test the metalearner in scenarios based on real electricity market´s data.

Adaptive learning in multiagent systems: a forecasting methodology based on error analysis

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simu-lator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM pro-vides several dynamic strategies for agents’ behaviour. This paper presents a method that aims to provide market players strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses an auxiliary forecasting tool, e.g. an Artificial Neural Net-work, to predict the electricity market prices, and analyses its forecasting error patterns. Through the recognition of such patterns occurrence, the method predicts the expected error for the next forecast, and uses it to adapt the actual forecast. The goal is to approximate the forecast to the real value, reducing the forecasting error.

Bid definition method for electricity markets based on an adaptive multiagent system

Electricity markets are complex environments with very particular characteristics. MASCEM is a market simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. This paper presents a new proposal for the definition of MASCEM players’ strategies to negotiate in the market. The proposed methodology is multiagent based, using reinforcement learning algorithms to provide players with the capabilities to perceive the changes in the environment, while adapting their bids formulation according to their needs, using a set of different techniques that are at their disposal. Each agent has the knowledge about a different method for defining a strategy for playing in the market, the main agent chooses the best among all those, and provides it to the market player that requests, to be used in the market. This paper also presents a methodology to manage the efficiency/effectiveness balance of this method, to guarantee that the degradation of the simulator processing times takes the correct measure.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.

Orientation system for people with cognitive disabilities

In health care there has been a growing interest and investment in new tools to have a constant monitoring of patients. The increasing of average life ex-pectation and, consequently, the costs in health care due to elderly population are the motivation for this investment. However, healthmonitoring is not only important to elderly people, it can be also applied to people with cognitive disabilities. In this article we present some systems, which try to support these persons on doing their day-to-day activities and how it can improve their life quality. Also, we present an idea to a project that tries to help the persons with cognitive disabilities by providing assistance in geo-guidance and keep their caregivers aware of their location.

Shopping center tracking and recommendation systems

Shopping centers present a rich and heterogeneous environment, where IT systems can be implemented in order to support the needs of its actors. However, due to the environment complexity, several feasibility issues emerge when designing both the logical and physical architecture of such systems. Additionally, the system must be able to cope with the individual needs of each actor, and provide services that are easily adopted by them, taking into account several sociological and economical aspects. In this sense, we present an overview of current support systems for shopping center environments. From this overview, a high-level model of the domain (involving actors and services) is described along with challenges and possible features in the context of current Semantic Web, mobile device and sensor technologies.

Recommendation and planning through mobile devices in tourism context

In this paper we present a mobile recommendation and planning system, named PSiS Mobile. It is designed to provide effective support during a tourist visit through context-aware information and recommendations about points of interest, exploiting tourist preferences and context. Designing a tool like this brings several challenges that must be addressed. We discuss how these challenges have been overcame, present the overall system architecture, since this mobile application extends the PSiS project website, and the mobile application architecture.